Triple

T613365
Position Surface form Disambiguated ID Type / Status
Subject Zuckerberg family E12147 entity
Predicate hasMemberRole P161 FINISHED
Object Edward Zuckerberg – dentist E7440 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Edward Zuckerberg – dentist | Statement: [Zuckerberg family, hasMemberRole, Edward Zuckerberg – dentist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Zuckerberg – dentist
Context triple: [Zuckerberg family, hasMemberRole, Edward Zuckerberg – dentist]
  • A. Edward Zuckerberg chosen
    Edward Zuckerberg is an American dentist and technology enthusiast best known as the father of Facebook co-founder Mark Zuckerberg.
  • B. David Zuckerman
    David Zuckerman is an American television producer and writer best known for his work on animated comedy series, including helping develop and produce the hit show Family Guy.
  • C. Sam Zussman
    Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
  • D. Chad Mirkin
    Chad Mirkin is an American chemist and nanotechnology pioneer known for inventing dip-pen nanolithography and developing spherical nucleic acids for biomedical applications.
  • E. Chris Lebenzon
    Chris Lebenzon is an American film editor known for his long-time collaborations with directors like Tim Burton and Tony Scott on major Hollywood films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e08dbf88190ab050078a63e266b completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a533dabe288190ab25bd6d76e79d06 completed March 2, 2026, 6:53 a.m.
Created at: March 1, 2026, 7:35 p.m.